Analyzing the Shanghai stock price index daily returns using MF-DFA method, it is found that there are two different types of sources for multifractality in time series, namely, fat-tailed probability distributions and non-linear temporal correlations. Based on that, a sliding window of 240...

An empirical research on Chinese stock markets is conducted using statistical tools. First, the multifractality of stock price return series, ri(ri=ln(Pt+1)−ln(Pt)) and trading volume variation series, vi(vi=ln(Vt+1)−ln(Vt)) is confirmed using multifractal detrended fluctuation analysis....